BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
PhillipSherlock
Obsidian | Level 7

I am working with a transaction type data set where there are multiple observations for individual children nested within families.  Each child has a unique" child_id" and an associated "familynumber." I would like to generate a count of the number of children in each family.  I have attempted to use the following code, but I am receiving an error that informs me that there are different data types in the WHERE clause.  Thank you for your help.

proc sql noprint;

select left(put(count(distinct(familynumber)),15.0)) into :fmcount work.time;

select distinct(familynumber) into :family1 - :family&fmcount from work.time;

quit;

%macro family_count;

%do i = 1 %to &fmcount;

proc sql noprint;

select count(distinct(child_id)) from work.time

where familynumber = "&&family&i";

quit;

%end;

%mend family_count;

%family_count;

1 ACCEPTED SOLUTION

Accepted Solutions
SASKiwi
PROC Star

Is the familynumber column numeric? If so: where familynumber = &&family&i;

View solution in original post

1 REPLY 1
SASKiwi
PROC Star

Is the familynumber column numeric? If so: where familynumber = &&family&i;

sas-innovate-2024.png

Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.

Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.

 

Register now!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 1 reply
  • 756 views
  • 0 likes
  • 2 in conversation